PhD Research Intern, Electronic Design Automation - 2027

$0k - $0k • Remote • US, CA, Santa Clara

Posted 7d ago

Remote Work Policy

Fully remote

Categories

AI Engineer

About the job

NVIDIA Research is seeking PhD-level students for a research internship focused on groundbreaking work at the intersection of AI, GPU computing, Formal Methods, and Electronic Design Automation (EDA). This role offers the chance to influence the future of chip design, which is being transformed by AI and GPU acceleration. Interns will gain broad exposure to EDA algorithms, agentic AI, LLMs, and GPU computing, with specific research interests including GPU-accelerated optimization, physical design, formal methods, agentic AI, and reinforcement learning techniques.

Responsibilities

  • Apply AI (Agentic AI, LLMs, Generative AI, Reinforcement learning) and GPU acceleration to chip design workflows.
  • Research and develop innovative EDA software and algorithms.
  • Collaborate with cross-functional teams on research and product development.
  • Publish and present original research findings.

Requirements

  • Currently pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Publications in leading EDA or AI conferences related to AI for EDA, Formal Methods, or GPU-accelerated EDA.
  • Excellent programming skills in Python for rapid prototyping.
  • Experience with C++ and parallel programming (e.g., CUDA) is a plus.
  • Expertise in EDA algorithms (e.g., formal verification, logic synthesis, physical design, timing and signoff) combined with experience applying AI to impactful problems.
  • Strong self-motivation, creativity, and passion for research.
  • Effective collaboration and teamwork skills.
  • Excellent written and verbal communication skills, with proven experience presenting technical work and synthesizing complex concepts.

Benefits

  • Internship hourly rates based on position, location, year in school, degree, and experience.
  • Eligibility for Intern benefits.

About nvidia

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